Natural language processing deep learning models for the differential between high-grade gliomas and metastasis: what if the key is how we report them?

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: The differential between high-grade glioma (HGG) and metastasis remains challenging in common radiological practice. We compare different natural language processing (NLP)-based deep learning models to assist radiologists based on data contained in radiology reports.

Authors

  • Teodoro Martín-Noguerol
    MRI Unit, Radiology Department, HT médica Carmelo Torres 2, Jaén 23007, Spain. Electronic address: t.martin.f@htime.org.
  • Pilar López-Úbeda
    Universidad de Jaén, Jaén, Andalucía, Spain.
  • Albert Pons-Escoda
    Radiology Department, Hospital Universitari de Bellvitge, Barcelona, Spain.
  • Antonio Luna
    MRI Unit, Radiology Department, Health Time, Jaén, Spain. Electronic address: aluna70@htime.org.